Job Description

Experience Level: Experienced Hire


  • Engineering & Technology


  • The Alexandra 200-220, The Quays, Salford, M50 3SP, GB

Moody’s is a developmental culture where we value candidates who are willing to grow. So, if you are excited about this opportunity but don’t meet every single requirement, please apply! You may be a perfect fit for this role or other open roles.

Moody's is a global integrated risk assessment firm that empowers organizations to make better decisions.

At Moody’s, we’re taking action. We’re hiring diverse talent and providing underrepresented groups with equitable opportunities in their careers. We’re educating, empowering and elevating our people, and creating a workplace where each person can be their true selves, reach their full potential and thrive on every level. Learn more about our DE&I initiatives, employee development programs and view our annual DE&I Report at

Department Overview - Data Solutions
The Data Solutions division is the commercial data business of Moody’s Analytics, bringing together a vast catalogue of data to help business decision-makers assess risks and opportunities. We are best known for Orbis, the world’s most comprehensive database of public and private companies. We are also the definitive source of ratings-related data for companies and securities that have been rated by Moody’s Investors Service. Data Solutions is also the home of NewsEdge, the premier collection of premium and web aggregated businesses news with more than 23,000 breaking news and key trade publications, web pages, blogs and social media feeds. All are normalized, enriched and delivered sub second of release. We strive to deliver convenience and insight to our customers by eliminating the hassle of sourcing, preparing, and accessing data, adding value when decisions need to be made. Any analytical activity depends on reliable and accessible data, and we are proud to be a mission-critical information resource for decision-makers around the world.
Domain Overview - Data Management Platform
Data has become a critical asset for enterprises, playing a pivotal role in various aspects of business operations and strategic decision-making. Our proprietary datasets power a diverse set of products and services and have an ever-increasing set of demands for expanded coverage and data quality.
Role Overview
Our engineering team is going through an exciting phase of going from Data at Rest to Data in Motion using event-driven architecture (EDA) and NoSql storage technologies. Do you believe testing should be at the heart of any engineering effort? Do you believe that ruthless simplification and refactoring are the soul of any engineering effort? Do you want to help establish an Engineering culture with these fundamentals? Technology is changing rapidly, and that pace is only accelerating. We are expanding our Engineering teams to leverage these new technologies and modernize our entire Data Management Platform. Come join us to learn and apply new technologies and prepare our platforms for the many growth opportunities which lie ahead

  • Be a key contributor in the implementation of solutions
  • Create cloud-native data streaming frameworks using technologies like Kafka, Flink and Kubernetes to process large datasets in near real-time, enhancing the speed and accuracy of our production data pipelines.
  • Able to operate within a lean agile team of cloud software engineers to partner with business and technology teams to design and develop scalable and highly available cloud-native solution
  • Contribute to the development of cutting-edge enterprise data solutions in a fast-paced environment using modern solutions to solve complex data challenges leveraging the cloud
  • Provide world-class support across cloud engineering, operations and applications
  • Contribute improvements to our development processes and GitHub Actions based CI/CD pipelines.
  • Willing to learn new technologies, capable of self-directed learning
  • Author and maintain technical design documents.
  • Refactor design and implementation for stories owned, based on requirement changes.
  • Define and maintain coding standards and guide team members to comply with these standards.
  • Collaborate with quality assurance engineers to fix defects.
  • Ability to handle multiple assignments concurrently and independently manage time


  • Minimum Bachelor’s degree in Computer Science or related major from top institutions, Master’s degree is a plus.
  • Open-source frameworks and developing native Cloud solutions.
  • Experience with service-based architectures, such as microservices.
  • Experience with data practices and technologies including data lake, data warehousing, analytics and business intelligence.
  • Experience working with Agile methodologies (Scrum, Lean Startup, XP) and multi-functional teams (Product Owners, Scrum Masters, Developers, Designers, Data Analysts)
  • Excellent communication skills, the ability to translate technical concepts to business concepts and vice versa
  • Client focused, proactive, and results oriented
  • Quickly learns new technologies; proactively seeks to improve

Preferred Skills:

  • Strong experience with programming languages: Java, C#
  • Competent in Development tools: Visual Studio, IntelliJ, GIT
  • Competent in Development Platforms: Microsoft Windows, Linux.
  • Competent in AWS container services such as EKS and ECS
  • Familiarity with AWS storage services such as DocumentDB, DynamoDB, S3
  • Familiarity with databases: MongoDB, SQL, MySql, etc.
  • Familiarity with Apache Kafka and Flink is a plus

Ready to revolutionize our data pipeline? Join us and be at the forefront of shaping the future!

Moody’s is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability, protected veteran status, sexual orientation, gender expression, gender identity or any other characteristic protected by law.

Candidates for Moody's Corporation may be asked to disclose securities holdings pursuant to Moody’s Policy for Securities Trading and the requirements of the position. Employment is contingent upon compliance with the Policy, including remediation of positions in those holdings as necessary.

For more information on the Securities Trading Program, please refer to the STP Quick Reference guide on ComplianceNet

Please note: STP categories are assigned by the hiring teams and are subject to change over the course of an employee’s tenure with Moody’s.

Application Instructions

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